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Elad Wasserstein
Machine Learning Researcher | R&D Leader
Elad Wasserstein is a Staff Software Engineer specializing in Machine Learning at Meta, based in Menlo Park, California. He has transitioned into this role after several years of experience in building cyber prevention systems. At Meta, he focuses on helping engineers solve complex problems and predict future challenges in machine learning applications.12
Wasserstein is also involved in research related to Wasserstein Generative Adversarial Networks (GANs) and their application in meta-learning, particularly for tasks like few-shot fault diagnosis under imbalanced data conditions. This indicates his expertise in both practical engineering and theoretical aspects of machine learning.34
His professional profile on LinkedIn shows that he has a network of over 500 connections, which reflects his active engagement in the tech community.1
